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Sequential Pattern Mining

Sequential Pattern Mining is the process that discovers relevant patterns between data examples where the values are delivered in a sequence.

Source: Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities

Papers

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Showing 11–20 of 39 papers

TitleStatusHype
Efficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks—0
Facebook 活動事件擷取系統(Facebook Activity Event Extraction System)[In Chinese]—0
High Utility Interval-Based Sequences—0
Hybrid Recommender System Based on Personal Behavior Mining—0
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences—0
Mining Local Process Models—0
Mining Non-Redundant Local Process Models From Sequence Databases—0
OPP-Miner: Order-preserving sequential pattern mining—0
Prefix-Projection Global Constraint for Sequential Pattern Mining—0
Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish)—0
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